Artem B. Mamonov
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Archeology top 2%
- Health Informatics top 1%
- Co-authors
- Rob D. CoalsonMaria G. KurnikovaJayashree Kalpathy–CramerAbraham NitzanDaniel M. ZuckermanHans Henrik ThodbergBradley J. EricksonLucas Pereira
- Topics
- Protein Structure and Dynamics (13 papers)Mass Spectrometry Techniques and Applications (8 papers)Machine Learning in Materials Science (5 papers)
- Partner nations
- United StatesRussiaMalaysia
In The Last Decade
Artem B. Mamonov
26 papers receiving 798 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 289
- Radiology, Nuclear Medicine and Imaging 262
- Biomedical Engineering 187
- Archeology 117
- Health Informatics 110
Countries citing papers authored by Artem B. Mamonov
This map shows the geographic impact of Artem B. Mamonov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Artem B. Mamonov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artem B. Mamonov more than expected).
Fields of papers citing papers by Artem B. Mamonov
This network shows the impact of papers produced by Artem B. Mamonov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Artem B. Mamonov. The network helps show where Artem B. Mamonov may publish in the future.
Co-authorship network of co-authors of Artem B. Mamonov
This figure shows the co-authorship network connecting the top 25 collaborators of Artem B. Mamonov. A scholar is included among the top collaborators of Artem B. Mamonov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Artem B. Mamonov. Artem B. Mamonov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 283 | |
| 3 | 126 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | Rapid equilibrium sampling of all-atom peptides using a library-based polymer-growth approach | 1 |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 25 | |
| 20 | 99 |
About Artem B. Mamonov
Artem B. Mamonov is a scholar working on Health Informatics, Spectroscopy and Molecular Biology, having authored 26 papers that have together received 814 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Mass Spectrometry Techniques and Applications (8 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Health Informatics (110 citations), Archeology (117 citations) and Radiology, Nuclear Medicine and Imaging (262 citations). Artem B. Mamonov has collaborated with scholars based in United States, Russia and Malaysia. Frequent co-authors include Rob D. Coalson, Maria G. Kurnikova, Jayashree Kalpathy–Cramer, Abraham Nitzan, Daniel M. Zuckerman, Hans Henrik Thodberg, Bradley J. Erickson, Lucas Pereira, Mark Cicero and Rafael T. Sousa. Their work appears in journals such as The Journal of Physical Chemistry B, Biochemistry and Radiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.